Senior Product Owner

Lisbon, Portugal

Senior (4-6 Years), Mid-level (2-3 Years)

Hybrid

English Required

What is this challenge about

Engaging with Product Managers, Engineering, Architecture, AI teams and business stakeholders to execute the vision, roadmap, and strategic direction of Enhesa’s AI research initiatives, ontology capabilities, and AI-powered products
Defining and prioritizing AI research initiatives, semantic search capabilities, ontology improvements, metadata enrichment strategies, and AI-powered customer experiences that support strategic AI initiatives across the portfolio.
Contributing to the definition and execution of the strategy, roadmap, and priorities for semantic search, retrieval-augmented generation (RAG), knowledge discovery, ontology evolution, metadata management, and AI-enabled content experiences.
Ensuring AI research initiatives, ontology models, metadata frameworks, and AI-powered functionality align with governance, security, privacy, regulatory, explainability, and customer requirements.
Coordinate delivery across multiple products, ensuring dependencies, ownership transitions, and delivery handoffs are clearly defined and managed.
Facilitating the transition of initiatives from research, experimentation, and prototyping into product delivery, ensuring success criteria, business value, ownership, and delivery expectations are clearly understood before implementation begins.
Strategically prioritizing complex AI and ontology-related backlog items based on business value, customer impact, technical dependencies, risk, and delivery sequencing
Creating user stories and acceptance criteria that clearly articulate product requirements, expected behaviors, customer outcomes, and quality expectations for each feature or capability.
Coaching Product Owners within the team, sharing experiences, best practices, and expertise to support professional growth and product management excellence.

What we are looking for

3+ years of experience in delivering cloud-based software projects.
Strong knowledge of Agile methodologies, prioritization frameworks and implementation experience.
Knowledge of distributed systems, APIs, microservices, and modern software architectures, with the ability to understand how AI, search, ontology, and data capabilities integrate within larger product ecosystems.
Experience working with data platforms, metadata management, information retrieval systems, and interoperability between systems.
Knowledge of ontology management, taxonomy design, knowledge representation, semantic technologies, metadata frameworks, or information architecture concepts.
Experience with semantic search, Retrieval-Augmented Generation (RAG), vector databases, knowledge discovery, and AI-powered user experiences.
Experience collaborating with Research, Architecture, Engineering, Data, and Platform teams to translate technical designs and research outcomes into product requirements, roadmaps, and customer-facing capabilities.
Familiarity with AI-enabled solutions, Large Language Models (LLMs), retrieval-based systems, AI evaluation approaches, and AI governance concepts.
Experience managing the transition of initiatives from research and experimentation into scalable product capabilities is desirable.
Knowledge of Jira, Confluence, and other product management and collaboration tools.

We connect IT professionals with projects that match their skills, professional experience, and goals, then we offer a career progression program, delivered by in-house specialists - our People Experience Partners - to guide them through our journey with us.

What we offer:

A project that matches your skills and ambitions, as well as your preferences for working policies and culture.
A competitive salary with awesome benefits and opportunities to leverage your knowledge and network to earn additional income.
An empowering and respectful work culture enriched with social and learning events.
A People Experience Partner specially assigned to you - your go-to career guide, responsible for supporting your growth, facilitating training, and ensuring your work-life balance at KWAN.

At KWAN, they make sure that I feel comfortable with the client I’m working for and that what I’m doing aligns with my career aspirations.

Luis Caldeira, DevOps @ KWAN

At KWAN, I’m given the space to be myself and do what I love. I have control over the projects I work on, as well as the direction of my career.

Pedro Fonseca, Front End Developer @ KWAN

I see my People Experience Partner as someone who is always available to provide me with motivation and constant feedback, which helps me be sure that I am in the right place.

Josimar dos Reis, Software Developer @ KWAN

I know that I’ve contributed to the growth of a company that truly values a “people first culture”, because my ideas, experiences, and individuality were always appreciated.

João Nascimento, Software Developer (KWAN Alumni)

My two years at KWAN were an incredible experience! From the start, I was welcomed into a warm and collaborative environment where I felt truly supported.

Laís Ortiz, Software Developer @ (KWAN Alumni)

Grab this opportunity, apply now!